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Visual Learning and Recognition: Difference between revisions
Visual Learning and Recognition (view source)
Revision as of 15:37, 28 October 2020
, 28 October 2020→ION: Inside-Outside Network
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# There are 5 conv blocks, followed by two 4-dir IRNN blocks which extract context features. | # There are 5 conv blocks, followed by two 4-dir IRNN blocks which extract context features. | ||
# The whole image passes through this entire network. | # The whole image passes through this entire network. | ||
IRNN | |||
* This is a set of 4 RNNs which move across the image. Up, down, left, right. | |||
* The outputs of each RNN are concatenated, yielding an image with the same shape. | |||
* For each RoI identified using object proposals: | * For each RoI identified using object proposals: | ||